A heuristic approach for solving decentralized-POMDP: Assessment on the pursuit problem

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2002, Pages 57-62

  Chades, Iadine ^a   Scherrer, Bruno ^a   Charpillet, François ^a  

^a LORIA   (France)

Author keywords

Decision theoretic agents; Multiagent systems

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION THEORY; HEURISTIC METHODS; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY; THEOREM PROVING;

COORDINATION PROBLEM; DECENTRALIZED PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES; PURSUIT PROBLEM;

MULTI AGENT SYSTEMS;

EID: 0036040313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. The complexity of decentralized control of Markov decision processes
2. Inspiration for optimization from social insect behaviour
3. Sequential optimality and coordination in multiagent systems
4. Markov decision processes
5. Multiagent systems: A survey from a machine learning perspective
6. Formal modeling of communication decisions in cooperative multi-agent systems